Method for determining a state of credibility of measurements made by sensors of an aircraft and corresponding system
US-2015057960-A1 · Feb 26, 2015 · US
US9933449B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9933449-B2 |
| Application number | US-201514818432-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 5, 2015 |
| Priority date | Aug 5, 2014 |
| Publication date | Apr 3, 2018 |
| Grant date | Apr 3, 2018 |
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A system for calculating airspeed and dynamic pressure comprises a system body, an internal accelerometer, located within the system body, an internal pressure sensor, located in the system body, the internal pressure sensor being not hermetically sealed within the system body and capable of measuring the static pressure of the ambient atmosphere, and a processor in reception of the internal accelerometer, and the internal pressure sensor, capable of calculating Mach number via an axial acceleration, and capable of calculating a dynamic pressure and a true airspeed via the Mach number.
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What is claimed is: 1. A system for calculating airspeed and dynamic pressure, comprising: a system body; wherein the system body comprises entry ports situated to equalize pressure inside and outside of the system body; an internal accelerometer located within the system body; an internal pressure sensor located in the system body, the internal pressure sensor not hermetically sealed within the system body and capable of measuring the static pressure of the ambient atmosphere; and, a processor coupled to the internal accelerometer and the internal pressure sensor for calculating Mach number from an axial acceleration detected by said internal accelerometer and the static pressure of the ambient atmosphere measured by the internal pressure sensor, and for calculating dynamic pressure utilizing the calculated Mach number. 2. The system of claim 1 , further comprising a temperature sensor capable of measuring an ambient air temperature outside of the system body and coupled to the processor for calculating a true airspeed. 3. The system of claim 1 , wherein the internal accelerometer is located at the center of gravity of the system body. 4. The system of claim 1 , further comprising angle sensors to measure the angles of the control flaps. 5. The system of claim 1 , wherein the processor calculates the Mach number using a Mach lookup table. 6. The system of claim 1 , wherein the processor calculates the Mach number using a multidimensional polynomial fit. 7. The system of claim 1 , wherein the processor calculates the Mach number using an iterative approach, wherein Mach is varied. 8. A method of measuring airspeed and dynamic pressure to stabilize a flight of a guided projectile, comprising the steps of: providing a system body with an internal accelerometer and an internal pressure sensor, the system body moving in a direction; measuring a deceleration of the system body in the direction that the system body is moving with the internal accelerometer; measuring a static pressure of an ambient atmosphere with the internal pressure sensor; calculating an axial acceleration of the system body from the measured deceleration; calculating a Mach number of the system body utilizing the calculated axial acceleration and the static pressure of the ambient atmosphere measured by the internal pressure sensor; calculating a dynamic pressure using the calculated Mach number; and providing the dynamic pressure as input to a gain of an autopilot of the guided projectile; whereby the flight of the guided projectile is stabilized. 9. The method of claim 8 , further comprising measuring the air temperature outside the system body with a temperature sensor for calculating a true airspeed. 10. The method of claim 8 , further comprising measuring a control flap angle of a control flap of the system body with an angle sensor. 11. The method of claim 8 , further comprising filtering the calculated Mach number prior to calculating the dynamic pressure and the true airspeed. 12. The method of claim 11 , wherein the step of filtering includes a Kalman filter. 13. The method of claim 8 , wherein calculating the Mach number of the system body further comprises calculating the Mach number using a Mach lookup table. 14. The method of claim 8 , wherein calculating the Mach number of the system body further comprises calculating the Mach number using a multidimensional polynomial fit. 15. The method of claim 8 , wherein calculating the Mach number of the system body further comprises calculating the Mach number using an iterative approach, wherein Mach is varied. 16. The method of claim 8 further comprising: measuring an air temperature outside the system body with an internal temperature sensor capable of measuring an ambient air temperature outside of the system body; wherein the ambient air temperature is used to provide an input to the gain of the autopilot of the guided projectile. 17. The method of claim 8 wherein the internal pressure sensor comprises: air pressure input to ports situated on opposite sides of the system body whereby shockwaves on a bottom of the guided projectile create a pressure rise that is nullified by expansion fans on a top of the guided projectile that create pressure loss wherein a net result is that shockwave-induced phenomena are nullified, whereby internal sensors can calculate both dynamic pressure and Mach number. 18. The method of claim 8 wherein a relationship between Mach and a ratio of measured drag to measured pressure comprises: H a x P ( v m , θ p , θ y , θ r ) = a x P ≈ γ v m 2 S 2 m C a ′ ( v m , θ p , θ y , θ r ) where: H is a relationship between Mach and a ratio of measured drag to measured pressure; α x is an axial acceleration; P is a static pressure; θ is a commanded flap angle; ν m is a Mach velocity; m is a mass; γ is a ratio of specific heats; and
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